The original post is here: https://www.informatik.tu-darmstadt.de/ukp/ukp_home/jobs_ukp/2021_associate_...

Are you passionate about making a difference in the field of mental health through cutting-edge research in AI and Natural Language Processing? Do you have a strong background in computer science, data science, or a related field? If so, we invite you to join our dynamic and interdisciplinary team at the Technical University of Darmstadt!

Position: Full-Time Research Assistant (i.e., doctoral candidate or PhD student) Duration: 1.10.2024 or soon afterward - 31.12.2027 with the possibility of extension. Location: Department of Computer Science, Technical University of Darmstadt

Responsibilities: - Conduct cutting-edge research in NLP with a focus on mental health applications. - Focus on research topics, such as NLP and knowledge discovery for mental health, large language models for clinical applications, and multimodal clinical data analysis. - Develop and implement algorithms for analyzing therapist-patient conversations. - Collaborate with a diverse team of researchers from TU Darmstadt and other partner institutions.

Ecosystem: We are part of DYNAMIC, the newly approved interdisciplinary LOEWE-funded center “Dynamic Network Approach of Mental Health to Stimulate Innovations for Change.” Our mission is to advance the understanding and treatment of mental health disorders using AI, NLP, and multimodal data analysis.

Team: Dr. Shaoxiong Ji (https://www.helsinki.fi/~shaoxion/) will join TU Darmstadt this fall and establish a junior independent research group focusing on foundation models and their applications, such as healthcare. He has a wide range of research directions, including NLP for health, multilingual LLMs, and learning methods such as federated learning, multitask learning, and meta-learning. The newly established research group will closely collaborate with the research labs led by Prof. Iryna Gurevych and Prof. Kristian Kersting, and partners under the umbrella of the DYNAMIC project.

Qualifications: - A Master’s degree in Computer Science, Data Science, AI, NLP, or a related field. - Strong programming skills in Python or other relevant languages. - Experience with deep learning frameworks - Excellent problem-solving abilities and a passion for research. - Previous experience in clinical NLP or multimodal data analysis is a plus but not required. - Strong communication skills and the ability to work effectively in a collaborative environment.

What We Offer: - An exciting opportunity to contribute to impactful research in mental health. - A supportive and collaborative research environment. - Opportunities for professional development and growth within the DYNAMIC project and beyond.

How to Apply: If you are enthusiastic about joining our team and contributing to groundbreaking research, please submit the following documents: - Detailed CV - Master’s degree certificates and the Bachelor and Master study transcripts - Cover letter outlining your motivation and relevant experience - Contact information for at least two academic or professional references

Please send your application to Shaoxiong Ji shaoxiong.ji@outlook.com by July 31st, 2024. After that, the positions will remain open until filled. We will consider applications as soon as they are submitted. Join us in making a real-world impact on mental health through the power of AI and NLP!